Forty tools, one gap. What AI tools for product strategy and go-to-market actually do, and the growth strategy tool gap in the market.

Work management, OKR platforms and BI tools all claim strategy. AI for Growth Decision Intelligence is what none of them are and is what AIPath is for Growth Strategy.

Every layer of the modern tech stack starts contributing after growth strategy is decided, leaving the C-Suite to develop growth strategy with no tools other than slides and whiteboards.

Growth Decision Intelligence is decision intelligence applied to the growth decision: which initiatives a company funds next based on the most valuable opportunities available. Gartner published its first Magic Quadrant for Decision Intelligence Platforms in January 2026, and every platform named in it decides operational risk such as credit, fraud and supply chains. AIPath generates growth strategy and ranks hundreds of thousands of options to pre-test before you build.

AIPath joins Cohort 1 of HP Garage 2.0 AI Accelerator to power Next-Gen Decision-Making

What if we could simulate our strategy before we bet the quarter on it?

Spot competitor weaknesses to see where growth could come from

Most teams do not build badly; they build the wrong thing well and learn it two quarters too late. How to map the option space, rank it by the growth lever that matters at your stage, and pre-test the strongest option in market before the budget moves.

ChatGPT frames growth strategy well and stops short of deciding it. Where a general model stops, what separates an answer from a decision a board can fund, and which job each tool is genuinely built for.

For years startups have been told to build an MVP and fail fast. At its best, that advice helped founders avoid spending years building products nobody wanted; 90% of startups fail, yes, including the funded ones. Customer journey mapping and experimentation (A/B testing, but hopefully of the multivariate variety) are the two elements the best and fastest evolving startup teams practice in common. Most startup accelerators don't have the time to teach teams to run more expe